Rockset Inc., the startup behind the speedy database of the same name, said today it’s expanding the vector search capabilities of its platform. The new features are intended to enable more rapid ...
Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
As a specialized approach for managing multi-dimensional data, vector technology proves to be an essential component of advanced AI applications. Experts from Datavail joined DBTA ’s webinar, Vector ...
DataStax, the real-time AI company, is announcing that its Database-as-a-Service, Astra DB, now supports vector search—representing a leap by the company into enhanced support for AI workloads, ...
Did you know that over 80% of the data generated today is unstructured? Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into play.
Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. They are ...
The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...
BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...
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